• Title of article

    Prediction of Economic Value Added of Iranian Listed Companies

  • Author/Authors

    Mousavi Shiri، Mahmoud نويسنده Department accounting, Payame Noor University, Mashhad, KhorasanRazavi , , Salehi، Mehdi نويسنده , , Bahrami، Mostafa نويسنده Hidaj Branch, Islamic Azad University Bahrami, Mostafa

  • Pages
    11
  • From page
    45
  • To page
    55
  • Abstract
    Economic value added (EVA) is an important issue for economic analysts and investors. This article proposes a method for predicting economic value added of the automotive and steel listed companies on the Tehran Stock Exchange (TSE) using neural networks. The data were collected from the audited financial statements during 2006-2011. EVA was predicted using linear regression and neural networks and the results were compared with actual data. The findings suggested that neural networks method outperforms linear regression in predicting EVA.
  • Journal title
    Astroparticle Physics
  • Record number

    1026286

    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=10&DC=1026286